by Bajpai Labs · Antibody & protein design
From antigen to ranked antibodies in 2–4 weeks.
ProteinForge replaces $500K–$900K phage display campaigns with an AI pipeline that surfaces your best 50–500 biologics before a single CHO run.
Delivery pipeline
- Library Generation01CDR enumeration · ESM-2 seeding · million-variant libraries
- Structure & Developability02AlphaFold-Multimer · binding prediction · aggregation & expression scoring
- Ranked Delivery03Top 50–500 sequences · KD report · validation playbook
- 70–85%
- Cost savings vs. phage display
- 4–6×
- Faster time-to-lead
- 2–4 wks
- Typical delivery
Traditional antibody discovery is slow, expensive, and most binders never make it to clinic.
Phage display and hybridoma campaigns require months of wet-lab screening plus costly mammalian expression before you know if a binder is developable.
Lengthy discovery and validation cycles delay every downstream CMC decision and push biologics programs past funding milestones.
Most phage display binders lack functional activity or fail developability. Teams express far more clones than necessary.
An end-to-end AI pipeline that ranks your biologics before any CHO expression begins.
- 01
Upload your antigen
Provide a protein structure (PDB), antigen sequence, or antibody engineering brief.
- 02
AI pipeline runs
Protein language models, AlphaFold-Multimer, CDR design, and developability scoring.
- 03
Ranked sequences delivered
Top 50–500 antibodies or proteins with predicted affinity, developability, and validation playbook.
Built for decisions, not dashboards.
Every architectural choice in ProteinForge serves one goal: get your team to the right expression and validation experiments faster.
Most vendors optimize for library size. ProteinForge optimizes for decision quality: surfacing the 50 to 500 antibodies worth expressing, not thousands of maybes.
Binding affinity alone is not enough. Every candidate is scored for aggregation, expression yield, and manufacturability before it reaches your lab.
Research-driven methods from Bajpai Labs, delivered on biologics timelines with full technical documentation.
You work with the architects who built the pipeline, not a sales team relaying requirements to a black box.
The science behind the pipeline.
Published, peer-reviewed methods composed with proprietary biologics scoring from Bajpai Labs.
ESM-2 and ESMFold for CDR design, stability prediction, and mutational effect scoring across antibody and enzyme libraries.
Antibody-antigen and bispecific interface prediction for binding affinity, epitope mapping, and structural validation.
Generative CDR enumeration and inverse folding models for de novo binder design against conformation-specific epitopes.
GROMACS and OpenMM simulations for interface stability, thermostability refinement, and conformational analysis.
Multi-objective ranking across aggregation, immunogenicity, viscosity, expression yield, and thermal stability.
CHO and E. coli codon optimization, signal peptide selection, and manufacturability scoring for production-ready sequences.
Methodology
Closed-Loop Protein Engineering
Each cycle narrows the variant space using binding and expression feedback, not a one-pass design run.
KD, expression yield, and stability data from your lab retrain the scoring models, tightening predictions over time.
Developability-calibrated loops cut expression failures and non-functional binders cycle over cycle.
Research rigor. Commercial speed.
ProteinForge combines research-driven engineering from Bajpai Labs with biologics expertise that most pure-software vendors lack.
- Research-driven delivery
Published research, open-source tooling, and production accountability. Not benchmark demos.
- AI + biologics leadership
Cross-disciplinary expertise spanning ML infrastructure, protein engineering, and CMC-aware design.
- Production accountability
Ranked sequences with full technical documentation your team can take straight into CHO expression.
- Direct line to leadership
You work with the architects who built the pipeline, not a sales team.
Biologics services
Four pipelines. One operating system.
From antibody discovery through developability optimization, each service is built for biologics programs, sharing the same production-grade AI infrastructure and the same senior team.
All services- 00
Antibody Discovery
CDR design · epitope mappingStart hereDe novo antibody discovery against viral, oncology, and autoimmune targets. Million-variant CDR libraries ranked by binding, neutralization probability, and developability.
Engagements typically $250K–$550K per programSee capabilities - 01
Protein Design
Enzymes · binders · scaffoldsDe novo protein and enzyme engineering including thermostability, activity retention, and expression system optimization for E. coli and yeast.
Engagements typically $200K–$450K per programSee capabilities - 02
Affinity Maturation
Sub-nM · CDR optimizationIn-silico maturation of existing antibody or protein leads through targeted mutation campaigns, delivering sub-nM candidates in 2 to 3 weeks.
Engagements typically $180K–$350K per programSee capabilities - 03
Developability Optimization
Aggregation · viscosity · CHOBispecific engineering, aggregation remediation, immunogenicity reduction, and manufacturability scoring for clinical-stage biologics.
Engagements typically $300K–$650K per programSee capabilities
by Bajpai Labs
Ready to express only your best biologics?
30-minute intro call with the Bajpai Labs team. No pitch deck, just a scoping conversation about your antigen and developability constraints.